CN111728633B - PET system cross coincidence data processing method, device and computer equipment - Google Patents

Abstract

The present application relates to a PET system cross coincidence data processing method, device and computer equipment, wherein the PET system cross coincidence data processing method includes: by setting the number of the PET detection unit in the PET system, wherein each PET detection unit is set The unique number, according to the two numbers in the number, obtain the cross coincidence data of the PET detection unit corresponding to the two numbers, and display the cross coincidence data on the human-computer interaction interface, which solves the problem of having The problem of quality control and calibration of the PET system with multiple PET detection units.

Description

PET system cross coincidence data processing method, device and computer equipment

technical field

The present application relates to the technical field of medical devices, in particular to a PET system cross coincidence data processing method, device and computer equipment.

Background technique

Positron Emission Tomography (PET) is a three-dimensional imaging non-destructive testing technique that uses positron radioactive isotope-labeled compounds injected into organisms to measure their spatial distribution and time characteristics in vitro. High precision, good accuracy and accurate positioning.

The working principle of the PET system is: label the radionuclides that emit positrons on the compounds that can participate in the blood flow or metabolic process of human tissues, inject the radionuclides labeled with compounds with positrons into the subject, and let the subject The examiner performs PET imaging within the effective field of view of PET. During PET scanning, the positrons emitted by the radionuclide move about 1 mm in the body and then combine with the negative electrons in the tissue to generate annihilation radiation (annihilation event), producing two gamma photons with equal energy and opposite directions. Due to the different distances of the two gamma photons in the body, there is also a certain difference in the time to reach the two detection modules. If the probe system on the response line detects two mutual 180 When a photon of 1 degree (±0.25 degrees) constitutes a coincidence event, the processing device will record the corresponding data, and the data can obtain the required image through image reconstruction technology.

In the related art, the display interface of the PET system will display the total count rate of the PET detection units to indicate the use status of the PET system. However, when the PET system has multiple PET detection units, only the total count of the PET detection units will be displayed. The counting rate is not enough, and the counting rate of each PET detection unit needs to be counted and displayed separately, so as to realize the quality control and verification of the PET system with multiple PET detection units.

Contents of the invention

The embodiment of the present application provides a PET system cross coincidence data processing method, device and computer equipment, so as to at least solve the problem of quality control and verification of a PET system with multiple PET detection units in the related art.

In the first aspect, the embodiment of the present application provides a method for processing PET system cross coincidence data, the method comprising:

Set the number of the PET detection unit in the PET system, wherein each PET detection unit corresponds to a unique number;

According to the two numbers in the numbers, obtain the cross coincidence data of the PET detection units corresponding to the two numbers;

The cross coincidence data are displayed on the human-computer interaction interface.

In some of these embodiments, the storage and display mode of the cross coincidence data is a chord diagram mode.

In some of these embodiments, after the human-computer interaction interface displays the cross coincidence data, the method further includes:

The working state of the PET detection unit is determined according to the cross coincidence data.

In some of these embodiments, after the human-computer interaction interface displays the cross coincidence data, the method further includes:

Whether the clocks of the PET detection units are synchronized is determined based on the cross coincidence data.

In some of these embodiments, determining whether the clocks of the PET detection unit are synchronized according to the cross coincidence data includes:

Obtain the fast coincidence count rate and delayed coincidence count rate of the PET system;

Respectively displaying the fast coincidence count rate and the delayed coincidence count rate of the PET detection units corresponding to the two numbers;

Whether the clocks of the PET detection unit are synchronized is determined according to the display results of the fast coincidence count rate and the delayed coincidence count rate.

In some of these embodiments, after the human-computer interaction interface displays the cross coincidence data, the method further includes:

The location information of the scanned object in the PET system is determined according to the cross-coincidence data.

In some of these embodiments, determining the position information of the scanned object in the PET system according to the cross coincidence data includes:

Determine a PET detection unit as the reference unit, take the radial centerline of the reference unit as the baseline, and select PET detection units that are symmetrical on both sides of the baseline;

The position information of the scanning object in the PET system is determined according to the cross coincidence data of the symmetrical PET detection unit.

In the second aspect, the embodiment of the present application provides a PET system cross coincidence data processing device, the device includes: an acquisition module and a display module;

The obtaining module is used to obtain the cross coincidence data of the PET detection units corresponding to the two numbers according to the two numbers in the number, wherein the number is set in advance for the PET detection unit in the PET system, and each The PET detection unit sets a unique number;

The display module is configured to display the cross coincidence data on a human-computer interaction interface.

In a third aspect, an embodiment of the present application provides a PET system, the system comprising: a plurality of PET detection units, a rack, a display, and a processor;

A plurality of the PET detection units are placed in the frame, and the plurality of the PET detection units are arranged axially, there is cross coincidence data between the PET detection units, the PET detection units are pre-numbered, and each The PET detection unit has a unique number;

The processor is connected to the PET detection unit and the display respectively; it is used to complete the cross coincidence processing of any two PET detection units according to the detection data of a plurality of the PET detection units; the processor It is also used to obtain the cross coincidence data of the PET detection units corresponding to the two numbers according to the two numbers in the numbers, and control the display to display the cross coincidence data.

In a fourth aspect, the embodiment of the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the computer program Realize the method for processing PET system cross coincidence data as described in the first aspect above.

Compared with the related technology, the PET system cross-correlation data processing method provided by the embodiment of the present application, by setting the number of the PET detection unit in the PET system, wherein each PET detection unit corresponds to a unique number, according to the two numbers in the number number, obtain the cross coincidence data of the PET detection units corresponding to the two numbers, and display the cross coincidence data on the human-computer interaction interface, which solves the PET long axis coincidence display method that is simply added in the related technology, and there is The problem of low accuracy of PET long-axis coincidence display is improved, and the accuracy of PET long-axis coincidence display is improved.

The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below, so as to make other features, objects, and advantages of the application more comprehensible.

Description of drawings

The drawings described here are used to provide a further understanding of the application and constitute a part of the application. The schematic embodiments and descriptions of the application are used to explain the application and do not constitute an improper limitation to the application. In the attached picture:

Fig. 1 is a schematic diagram of response lines between detectors inside a single PET detection unit;

2 is a schematic diagram of response lines between multiple PET detection units in a PET system with multiple PET detection units in the present application;

Fig. 3 is a flow chart 1 of a PET system cross-correlation data processing method according to an embodiment of the present application;

Fig. 4 is the second flow chart of the PET system cross coincident data processing method according to the embodiment of the present application;

Fig. 5 is a flow chart three of the PET system cross coincidence data processing method according to the embodiment of the present application;

6 is a flow chart of a method for determining whether the clocks of the PET detection unit are synchronized according to cross coincidence data according to an embodiment of the present application;

FIG. 7 is a flowchart four of a PET system cross-concordance data processing method according to an embodiment of the present application;

8 is a flow chart of a method for determining position information of a scanned object in a PET system according to cross coincidence data according to an embodiment of the present application;

Fig. 9 is a structural block diagram of a PET system cross coincidence data processing device according to an embodiment of the present application;

Fig. 10 is a structural block diagram of a PET system according to an embodiment of the present application;

Fig. 11 is a schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ordinary skill in the art relevant to the content disclosed in this application, the technology disclosed in this application Some design, manufacturing or production changes based on the content are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

Reference in this application to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those of ordinary skill in the art that the embodiments described in this application can be combined with other embodiments without conflict.

Unless otherwise defined, the technical terms or scientific terms involved in the application shall have the usual meanings understood by those with ordinary skill in the technical field to which the application belongs. Words such as "a", "an", "an" and "the" involved in this application do not indicate a limitation on quantity, and may indicate singular or plural numbers. The terms "comprising", "comprising", "having" and any variations thereof involved in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product or process that includes a series of steps or modules (units). The apparatus is not limited to the listed steps or units, but may further include steps or units not listed, or may further include other steps or units inherent to the process, method, product or apparatus. The words "connected", "connected", "coupled" and similar words mentioned in this application are not limited to physical or mechanical connection, but may include electrical connection, no matter it is direct or indirect. The "plurality" involved in this application refers to two or more than two. "And/or" describes the association relationship of associated objects, indicating that there may be three types of relationships. For example, "A and/or B" may indicate: A exists alone, A and B exist simultaneously, and B exists independently. The character "/" generally indicates that the contextual objects are an "or" relationship. The terms "first", "second", "third" and the like involved in this application are only used to distinguish similar objects, and do not represent a specific ordering of objects.

In the embodiment of the present application, the PET system includes a plurality of PET detection units, each PET detection unit includes a plurality of detection modules, and a plurality of detection modules are arranged in a ring to form a PET detection unit, and a plurality of PET detection units are arranged in an axial direction to form a Detection subsystem of the PET system. Figure 1 is a schematic diagram of the response line between the detection modules inside a single PET detection unit. The coincidence judgment between the detection module data, and then the PET system usually displays the coincidence judgment among the data of each detection module inside the PET detection unit, which is the coincidence principle of traditional PET.

Figure 2 is a schematic diagram of the response lines between multiple PET detection units in the PET system with multiple PET detection units in the present application. As shown in Figure 2, for the PET system of the present application, there are coincidences between different PET detection units Event, that is, cross coincidence, for example, if a pair of gamma photons is incident on PET detection unit U0 and PET detection unit U3 of the PET system, if the cross coincidence is not considered, the cross coincidence between PET detection unit U0 and PET detection unit U3 The data will be lost and cannot be recorded, and the PET system becomes a simple addition of multiple PET detection units. Although the axial field of view becomes longer, the cross-coincidence data is lost and the spatial resolution of the PET system is reduced; this application provides According to the PET system cross coincidence data processing method, the PET detection unit is numbered in the PET system, wherein each PET detection unit is set with a unique number, and according to the two numbers in the number, the PET detection unit corresponding to the two numbers is obtained The cross coincidence data are displayed on the human-computer interaction interface, which solves the problem of quality control and verification of PET systems with multiple PET detection units in the related art.

This embodiment provides a method for processing PET system cross-correlation data. FIG. 3 is a flowchart 1 of a method for processing PET system cross-conformity data according to an embodiment of the present application. As shown in FIG. 3 , the method includes the following steps:

Step S301, numbering the PET detection unit in the PET system, wherein each PET detection unit corresponds to a unique number;

It should be noted that there are multiple PET detection units in the PET system, and the multiple PET detection units are arranged axially, and each PET detection unit is composed of multiple detection modules. A pair of detection modules in one PET detection unit Modules generate unit internal coincidence events; axially arranged PET detection units generate cross coincidence events, for example, detection modules between the detection module of PET detection unit U0 and PET detection unit U3 generate cross coincidence events across units, so the PET system It is necessary to complete the cross-unit cross-compliance event data collection while completing the intra-unit coincidence event data collection.

Step S302, according to the two numbers in the numbers, obtain the cross coincidence data of the PET detection units corresponding to the two numbers;

It can be understood that, when the user inputs two numbers through the human-computer interaction interface, the cross coincidence data of the PET detection units corresponding to the two numbers can be obtained according to the two numbers. In the case of inputting U1 and U5, according to U1 and U5, the cross coincidence data between the PET detection unit UNIT1 and the PET detection unit UNIT5 is obtained. As another example, when the user inputs U2 and U4 through the human-computer interaction interface, the cross coincidence data between the PET detection unit UNIT2 and the PET detection unit UNIT4 is acquired according to U2 and U4.

Step S303, displaying cross coincidence data on the human-computer interaction interface;

Among them, when the user inputs U1 and U5 through the human-computer interaction interface, after obtaining the cross coincidence data between the PET detection unit UNIT1 and the PET detection unit UNIT5 according to U1 and U5, the cross coincidence data are displayed on the human-computer interaction interface .

Through steps S301 to S303, according to the numbers set in advance for multiple PET detection units in the PET system, and then according to the two numbers, the cross coincidence data of the PET detection units corresponding to the two numbers can be obtained, and the corresponding numbers The cross coincidence data of the PET detection unit is displayed on the human-computer interaction interface, which is convenient for users to perform quality control and verification of the PET system according to the cross coincidence data of the PET detection unit.

In some of these embodiments, the storage and display mode of the cross-coincidence data is the chordal mode; it should be noted that after the detection subsystem in the PET system receives the gamma photon, it can obtain the corresponding electrical signal through photoelectric conversion, and the electric After the signal is processed, the raw data of the PET scan can be obtained; after the raw data is analyzed and processed, the energy of the detected photon can be known. If the energy of the photon is higher than the predetermined energy threshold, the photon is recorded as a For a single event, if the time coincidence between two single events is satisfied, the two single events can be called a coincident event. After traversing the original data, the PET coincident event data can be obtained. Using the PET coincident event data, it can be determined that two The connection between the single-event crystals, that is, the response line, and the chord diagram can reflect the attributes and characteristics of the response line. Therefore, in this embodiment, the data storage and display mode is the chord diagram mode, and the PET system can be observed intuitively. Whether the working status is normal.

In some of these embodiments, Fig. 4 is a flow chart 2 of a method for processing cross-correlation data in a PET system according to an embodiment of the present application. As shown in Fig. 4, after the cross-conformity data is displayed on the human-computer interaction interface, the method further includes the following steps step:

Step S401, determining the working state of the PET detection unit according to the cross coincidence data;

It should be noted that due to the background radiation of the crystal inside the PET detection unit itself, when the PET detection unit is in normal working condition, the cross-coincidence data between each PET detection unit exists, and even when there is no scanning In the case of objects, the cross-coincidence data collected by each PET detection unit in a certain period of time is also greater than 0, so if the cross-coincidence data between two PET detection units is 0, it can be judged that the working state of the PET detection unit is Abnormal state.

Through step S401, it can be judged whether the current PET detection unit is working abnormally according to the cross coincidence data between the two PET detection units, and the specific number and actual position of the abnormal PET detection unit can be calculated, so as to facilitate the detection of the abnormal PET detection unit Check and diagnose.

In some of these embodiments, FIG. 5 is a flow chart three of a PET system cross-conformity data processing method according to an embodiment of the present application. As shown in FIG. 5 , after the cross-conformity data is displayed on the human-computer interaction interface, the method further includes the following step:

Step S501, determining whether the clocks of the PET detection unit are synchronized according to the cross coincidence data;

It should be noted that among the multiple PET detection units of the PET system, each PET detection unit has its own clock system, so there may be different clock systems among multiple PET detection units. When the clock system between the detection units is different, the cross coincidence data between the two PET detection units is 0, so the cross coincidence data between the two PET detection units is 0, but the two PET detection units If there is matching data inside the units, it can be determined that the clocks of the two PET detection units are not synchronized.

Through step S501, it can be determined whether the clocks of the PET detection units are synchronized according to the cross coincidence data, so as to adjust the clocks of the PET detection units whose clocks are not synchronized, so as to improve the accuracy of the acquired cross coincidence data.

In some of these embodiments, FIG. 6 is a flow chart of a method for determining whether the clock of the PET detection unit is synchronized according to the cross coincidence data according to an embodiment of the present application. As shown in FIG. 6 , the method includes the following steps:

Step S601, obtaining the fast coincidence count rate and the delayed coincidence count rate of the PET system;

It should be noted that the fast coincidence count rate of the PET system can be understood as the instantaneous count rate, and the delayed coincidence count rate of the PET system can be understood as the coincidence count rate with a certain delay time.

Step S602, respectively displaying the fast coincidence count rate and the delayed coincidence count rate of the PET detection units corresponding to the two numbers.

Step S603, determining whether the clock of the PET detection unit is synchronized according to the display results of the fast coincidence count rate and the delayed coincidence count rate;

It should be noted that if there is no data for the fast coincidence count rate of the PET detection units corresponding to two numbers, but there is data for the corresponding delay coincidence count rate, it means that the PET detection units corresponding to the two numbers are not clock-synchronized.

Through steps S601 to S603, according to the fast coincidence counting rate and delayed coincidence counting rate of the PET detection units corresponding to the two numbers, it is judged whether the PET detection units corresponding to the two numbers are synchronous, so as to detect PET detection of clock asynchronous The unit is tuned to improve the accuracy of the acquired cross-coincidence data.

In some of these embodiments, FIG. 7 is a flowchart 4 of a method for processing cross-correlation data in a PET system according to an embodiment of the present application. As shown in FIG. 7 , after the cross-conformity data is displayed on the human-computer interaction interface, the method further includes the following steps :

Step S701, determining the position information of the scanning object in the PET system according to the cross-coincidence data;

For example, the PET system includes eight PET detection units, and the eight PET detection units are arranged axially. The numbers of the eight PET detection units from near to far can be 0-7. The closer the two PET detection units are to the scanning object, the unit, the greater the cross coincidence data between the two PET detection units, if the current scanning object is close to the PET detection unit 0, the three groups of PET detection units from near to far Unit0-Unit1, Unit0-Unit2, and Unit0-Unit3 The cross-coincidence data of the paired combination decreases successively, and then the position information of the current scanning object can be deduced according to the cross-coincidence data.

Through step S701, according to the cross coincidence data between pairs of PET detection units, the position information of the current scanning object can be inferred, so as to give a reminder when the current scanning object is not in the middle position of the long-axis PET.

In some of these embodiments, FIG. 8 is a flow chart of a method for determining the position information of a scanned object in a PET system according to cross coincidence data according to an embodiment of the present application. As shown in FIG. 8 , the method includes the following steps:

Step S801, determining a PET detection unit as a reference unit, taking the radial centerline of the reference unit as a baseline, and selecting PET detection units that are symmetrical on both sides of the baseline;

Step S802, determining the position information of the scanning object in the PET system according to the cross coincidence data of the symmetrical PET detection unit;

For example, if the selected reference unit is PET detection unit 2, the cross coincidence data of Unit0-Unit2, Unit1-Unit2, and the cross coincidence data of Unit2-Unit3, Unit2-Unit4 can be obtained. If Unit1-Unit2 and Unit2-Unit3, and the cross coincidence data between Unit0-Unit2 and Unit2-Unit4 are the same or close, it can be determined that the current scanning object is close to the PET detection unit 2.

Through steps S801 to S802, the position information of the scanned object in the PET system is determined according to the cross coincidence data of the PET detection units symmetrical on both sides of the selected reference unit, so as to facilitate knowing the position of the scanned object in the PET system.

It should be noted that the steps shown in the above flow or in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flow chart, the In some cases, the steps shown or described may be performed in an order different from that herein.

This embodiment also provides a PET system cross coincidence data processing device, which is used to implement the above embodiments and preferred implementation modes, and those that have already been described will not be repeated. As used below, the terms "module", "unit", "subunit" and the like may be a combination of software and/or hardware that realize a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

Fig. 9 is a structural block diagram of a PET system cross coincidence data processing device according to an embodiment of the present application. As shown in Fig. 9, the device includes: an acquisition module 91 and a display module 92;

The obtaining module 91 is used to obtain the cross coincidence data of the PET detection units corresponding to the two numbers according to the two numbers in the number, wherein the number is set in advance for the PET detection unit in the PET system, and each PET detection unit Set a unique number;

The display module 92 is configured to display the cross coincidence data on the human-computer interaction interface.

Through the above-mentioned PET system cross coincidence data processing device, according to the numbers set in advance for multiple PET detection units in the PET system, and then according to the two numbers, the cross coincidence data of the PET detection units corresponding to the two numbers can be obtained, And the cross-coincidence data of the corresponding numbered PET detection unit is displayed on the human-computer interaction interface, which is convenient for the user to perform quality control and verification of the PET system according to the cross-coincidence data of the PET detection unit.

In some of the embodiments, the acquisition module 91 and the display module 92 are also used to implement the steps in the PET system cross-concordance data processing method provided by the above embodiments, which will not be repeated here.

It should be noted that each of the above-mentioned modules may be a function module or a program module, and may be realized by software or by hardware. For the modules implemented by hardware, the above modules may be located in the same processor; or the above modules may be located in different processors in any combination.

The present application also provides a PET system. FIG. 10 is a structural block diagram of a PET system according to an embodiment of the present application. The system includes a plurality of PET detection units 101, a frame, a processor 102 and a display 103;

A plurality of PET detection units 101 are placed in the rack, and the plurality of PET detection units 101 are arranged axially. There is cross coincidence data between the PET detection units 101. The PET detection units 101 are pre-numbered, and each PET detection unit 101 have a unique number;

The processor 102 is connected to the PET detection unit 101 and the display 103 respectively; it is used to complete the cross coincidence processing of any two PET detection units 101 according to the detection data of a plurality of PET detection units 101; two numbers, acquire the cross-coincidence data of the PET detection unit 101 corresponding to the two numbers, and control the display 103 to display the cross-coincidence data.

Through the above-mentioned PET system, according to the numbers pre-set for multiple PET detection units in the PET system, and then according to the two numbers, the cross coincidence data of the PET detection units corresponding to the two numbers can be obtained, and the PET detection units of the corresponding numbers The cross coincidence data of the unit is displayed on the human-computer interaction interface, which is convenient for users to perform quality control and verification of the PET system according to the cross coincidence data of the PET detection unit.

In some of the embodiments, the processor 102 may implement the steps in the PET system cross-correlation data processing method provided by the above embodiments, and details will not be repeated here.

In one embodiment, a computer device is provided, and the computer device may be a terminal. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for processing PET system cross-correlation data is realized. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a button, a trackball or a touch pad provided on the casing of the computer device , and can also be an external keyboard, touchpad, or mouse.

In one embodiment, FIG. 11 is a schematic diagram of the internal structure of a computer device according to an embodiment of the present application. As shown in FIG. 11 , a computer device is provided. shown. The computer device includes a processor, memory, network interface and database connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store data. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a PET system cross-correlation data processing method is realized.

Those skilled in the art can understand that the structure shown in Figure 11 is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation on the computer equipment on which the solution of this application is applied. The specific computer equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the PET system cross-connection provided by the above-mentioned embodiments is realized. Follow steps in Data Processing Methods.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the PET system cross-correlation data processing method provided by the above-mentioned embodiments are implemented.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be realized by instructing related hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium , when the computer program is executed, it may include the procedures of the embodiments of the above-mentioned methods. Wherein, any references to memory, storage, database or other media used in the various embodiments provided in the present application may include non-volatile and/or volatile memory. Nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above-mentioned embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, should be considered as within the scope of this specification.

The above-mentioned embodiments only represent several implementation modes of the present application, and the description thereof is relatively specific and detailed, but it should not be construed as limiting the scope of the patent for the invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the scope of protection of the patent application should be based on the appended claims.

Claims (7)

1. A method of PET system cross-coincidence data processing, the method comprising:

arranging a number in a PET system for each PET detection unit, wherein each PET detection unit corresponds to a unique number;

acquiring crossing coincidence data of PET detection units corresponding to two numbers according to the two numbers;

displaying the cross coincidence data on a human-computer interaction interface;

after the man-machine interaction interface displays the cross coincidence data, the method further comprises at least one of the following schemes:

scheme one: determining the working state of the PET detection unit according to the cross coincidence data;

scheme II: determining whether clocks of the PET detection units are synchronous according to the cross coincidence data;

scheme III: and determining the position information of the scanning object in the PET system according to the cross coincidence data.

2. The method of claim 1, wherein the storage and display mode of the cross-coincidence data is a chordal graph mode.

3. The method of claim 1, wherein determining whether clocks of PET detection units are synchronized based on the cross-coincidence data comprises:

acquiring a fast coincidence counting rate and a delayed coincidence counting rate of a PET system;

respectively displaying the fast coincidence counting rate and the delay coincidence counting rate of the PET detection units corresponding to the two numbers;

and determining whether clocks of the PET detection units are synchronous according to the display results of the fast coincidence counting rate and the delay coincidence counting rate.

4. The method of claim 1, wherein determining positional information of a scan object in a PET system based on the cross-coincidence data comprises:

determining a PET detection unit as a reference unit, taking the radial central line of the reference unit as a base line, and selecting PET detection units with symmetrical base line sides;

and determining the position information of the scanning object in the PET system according to the cross coincidence data of the symmetrical PET detection units.

5. A PET system cross-coincidence data processing apparatus, the apparatus comprising: an acquisition module and a display module;

the acquisition module is used for acquiring the crossing coincidence data of the PET detection units corresponding to two numbers according to the two numbers, wherein the numbers are preset for the PET detection units in the PET system, and each PET detection unit is provided with a unique number;

the display module is used for displaying the cross coincidence data on a human-computer interaction interface;

the display module is further configured to process at least one of the following schemes:

scheme one: determining the working state of the PET detection unit according to the cross coincidence data;

scheme II: determining whether clocks of the PET detection units are synchronous according to the cross coincidence data;

scheme III: and determining the position information of the scanning object in the PET system according to the cross coincidence data.

6. A PET system, the system comprising: a plurality of PET detection units, a gantry, a display, and a processor;

the plurality of PET detection units are arranged in the rack, the plurality of PET detection units are axially arranged, crossed coincidence data exist among the PET detection units, the PET detection units are provided with numbers in advance, and each PET detection unit is provided with a unique number;

the processor is respectively connected with the PET detection unit and the display; the method is used for completing the cross coincidence processing of any two PET detection units according to the detection data of the plurality of PET detection units; the processor is further used for acquiring the cross coincidence data of the PET detection units corresponding to the two numbers according to the two numbers in the numbers, and controlling the display to display the cross coincidence data;

the processor is further configured to process at least one of the following schemes:

scheme one: determining the working state of the PET detection unit according to the cross coincidence data;

scheme II: determining whether clocks of the PET detection units are synchronous according to the cross coincidence data;

scheme III: and determining the position information of the scanning object in the PET system according to the cross coincidence data.

7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements a PET system cross-coincidence data processing method as claimed in any one of claims 1 to 4 when the computer program is executed by the processor.

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